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S989 Outcomes of Patients Admitted With Acute, Severe Ulcerative Colitis on Established Biologic Therapy: A Retrospective Analysis from a Tertiary Referral Hospital

2023· article· en· W4387751275 on OpenAlexaffabout
Nasruddin Sabrie, Manisha Jogendran, Rohit Jogendran, Laura E. Targownik

Bibliographic record

VenueThe American Journal of Gastroenterology · 2023
Typearticle
Languageen
FieldMedicine
TopicMicroscopic Colitis
Canadian institutionsQueen's UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineInfliximabRetrospective cohort studyUlcerative colitisColectomyReferralInternal medicineEmergency medicineDisease

Abstract

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Introduction: Acute, severe, ulcerative colitis (ASUC) is a phenotype of UC that is associated with significant morbidity. In steroid refractory ASUC, salvage medical therapy with infliximab is recommended to reduce the risk of colectomy. However, the evidence supporting this practice is based on cohorts naïve to biologics. Consequently, the management of patients on established biologic or small molecule therapy (EBST) with ASUC is not well defined. Methods: We conducted a retrospective chart review of patients admitted with ASUC to Mount Sinai Hospital (MSH) in Toronto, Ontario from January 2018 until January 2022. Included subjects were considered to be on EBST if they had received a dose of these agents within 56 days prior to admission. Our primary outcome was the mean difference in hospital length of stay (HLOS) between the 2 groups. Additional outcomes of interest include rates of surgical consultation, rates of inpatient colectomies, and 90-day readmission rates. Results: Of the 185 admission for ASUC, 76 were on EBST and 109 were not. Baseline characteristics were similar between the 2 groups. There were no significant differences in hospital length of stay (7.46 days vs 7.45 days p = 0.52) or in-hospital colectomy rates between the 2 groups. Patients on EBST had higher rates of surgical consultation (36.8% vs 8.3% P< 0.01) prior to discharge and 90-day readmission rates (26.3% vs 13.8% p = 0.03). Conclusion: Patients on EBST were more likely to receive a surgical consultation during their admission and had higher rates of readmission at 90 days. ASUC remains a challenging clinical entity to manage and further studies evaluating the underlying factors that contribute to readmission in patients on EBST in hospital are needed (Figure 1, Table 1).Figure 1.: Comparison of duration of intravenous steroids and hospital length of stay in patients on EBST vs not on EBST. Table 1. - Baseline characteristics and admission severity Not established (N=109) Established (N= 76) P value Patient characteristics Age (years) 34.9 (SD 11.8) 31.5 (SD 11.6) 0.05 Males 43 (39.5%) 41 (54.0%) 0.07 Current tobacco use 5 (4.6%) 3 (4.0%) 1.0 Current alcohol use 38 (34.9%) 25 (32.9%) 0.90 Disease duration (years) 6.2 (SD 7.4) 5.4 (SD 5.3) 0.43 UC flare requiring admission within 1 year 20 (18.4%) 35 (46.1%) < 0.01 Baseline medication use 5-ASA use 63 (57.8 %) 19 (25.0%) < 0.01 Immunomodulator use (AZA/MTX) 4 (3.7%) 16 (21.0%) < 0.01 Previous anti-TNF therapy 13 (11.9%) 28 (36.8%) < 0.01 Previous Vedolizumab therapy 3 (2.8%) 13 (17.1%) < 0.01 Previous Ustekinumab therapy 0 (0%) 1 (1.3%) 0.90 Previous Tofacitinib therapy 0 (0%) 0 (0%) N/A Exposure to ≥ 2 biologics 4 (3.7%) 29 (38.2%) < 0.01 Admission severity Bowel movements ≥ 10 per day 75 (70.7%) 66 (86.8%) 0.02 Systolic blood pressure ≤ 100 mmHg 37 (33.9%) 22 (28.9%) 0.58 Heart rate ≥ 100 bpm 64 (58.7%) 39 (51.3%) 0.40 Temperature ≥ 38.0 Celsius 24 (22.0%) 15 (19.7%) 0.85 CRP (mg/L) 67.4 (SD 62.4) 41.8 (SD 50.1) < 0.01 Hemoglobin (g/L) 118.2 (SD 23.5) 113.3 (SD 22.6) 0.16 White blood cell count (109/L) 11.6 (SD 3.9) 10.9 (SD 5.2) 0.32 Current biologic in patients on established biologic therapy (N=76) Infliximab 36 (47.4%) Golimumab 5 (6.6%) Adalimumab 8 (10.5 %) Vedolizumab 20 (26.3%) Ustekinumab 6 (7.9%) Tofacitinib 1 (1.3%)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.262
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes2
Has abstractyes

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